Jame Li
$50/hr
Expert Data Scientist specializing in Predictive Analysis, Statistics, and NLP
- Reply rate:
- -
- Availability:
- Full-time (40 hrs/wk)
- Location:
- Vancouver, British Columbia, Canada
- Experience:
- 7 years
Other
About
- Seasoned Data Science Professional with 6+ years of strong experience in machine learning engineering, data engineering, and operations. Proficient in predictive modeling, data processing, data mining, and statistical modeling to address complex business challenges.
- Strong expertise in NLP and implementation of deep learning models, such as BERT, GPT, and T5. Familiar with state-of-the-art NLP techniques, including Transformer architectures, and libraries like spaCy, HuggingFaces.
- Proficient in integrating vector stores such as ChromaDB and Pinecone into NLP or machine learning pipelines, enhancing tasks like document clustering, recommendation systems, and content-based retrieval. Understand APIs and functionalities provided by vector stores.
- Excellent knowledge of SQL and RDBMS implementation including data analysis techniques, complex SQL profiling on SQL Server and Teradata, and optimization of PL/SQL stored procedures and queries. Experience in data extraction, data modeling, data wrangling, and data analysis using IDEs such as Jupyter Notebook and PyCharm.
- Familiar with data warehousing principles and normalization techniques for OLAP systems. Expertise in data mining, text mining, data cleansing, transformation, and integration, leveraging MySQL, SQL Server, SQL.
- Skilled in designing and building batch and stream-based Spark pipelines, semantic search systems, and question-answering systems, deploying to production environments with high efficiency.
- Experienced in data visualization, adept at creating dynamic dashboards, reports, and data stories using Tableau and Power BI, and proficient in numerous Python and R packages like Pandas, NumPy, SciPy, Matplotlib, Seabon, ggplot2, TensorFlow, and Scikit-Learn.
- Solid understanding and background in mathematical foundations behind machine learning algorithms, probability theory, random processes, statistics, and optimization techniques. Apt in linear algebra and convex optimization techniques.
- Proficient with full Data Science project life cycle, actively involved in all phases including data acquisition, data cleaning, data engineering, feature scaling/engineering, statistical modeling, testing and validation, and data visualization.
- Highly experienced in working with cloud-based infrastructure, containerization, and CI/CD pipelines within a DevOps environment. Proven capability to deliver enterprise-grade, scalable machine learning and deep learning-based applications and services.
- Strong proficiency in agile methodology, and SCRUM process, with experience in tracking defects using tools like Jira and Git.
- Excellent at collaborating with cross-functional teams, stakeholders, application engineering, quality engineers, and product management. Outstanding communicative, interpersonal, intuitive, analysis, and leadership skills.
Skills
